05059nam a22005295i 4500 978-3-031-66850-0 DE-He213 20251030112929.0 cr nn 008mamaa 240901s2024 sz | s |||| 0|eng d 9783031668500 978-3-031-66850-0 10.1007/978-3-031-66850-0 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Advances in Smart Medical, IoT & Artificial Intelligence [electronic resource] : Proceedings of ICSMAI'2024, Volume 1 / edited by Mohammed Serrhini, Kamal Ghoumid. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XVII, 334 p. 144 illus., 122 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Information Systems Engineering and Management, 3004-9598 ; 11 Chapter 1. Adaptive DSR Metrics for Low-Energy LoRa Mesh Ad Hoc Routing: Theoretical Study on Forest Fire DetectionAdaptive DSR Metrics for Low-Energy LoRa Mesh Ad Hoc Routing: Theoretical Study on Forest Fire Detection -- Chapter 2. Towards Predictive Water Quality: Synergies between Machine Learning and Internet of Things -- Chapter 3. Forest Fire Surveillance through Deep Learning Segmentation and Drone Technology -- Chapter 4. Literature Review: Combining Machine Learning with Social Network Analysis features -- Chapter 5. Monte Carlo simulation of a modified Elekta Precise linear accelerator used for flash radiotherapy using TOPAS (TOol for Particle Simulation). Chapter 6. Hall effect sensors Based Experiment to Study the viscosity of a fluid in Real-time -- Chapter 7. Novel Thermodynamics Teaching Approach: Temperature Sensor-Based on a Real-Time Verification -- Chapter 8. Blockchain-Enhanced Peer Review: A Novel Approach to Academic Publishing -- Chapter 9. Transfer Learning for Efficiency in Elderly Fall Detection with Limited Data Samples -- Chapter 10. Handcrafted and Deep Trackers: A Survey -- Chapter 11. Automatic detection of glaucoma using transfer learning -- Chapter 12. Advancing Moroccan Darija Digit Recognition Through a Deep Learning Approach with RNN, LSTM, and GRU Models -- Chapter 13. Bacterial Infections and Antimicrobial Resistance: The contribution of Artificial Intelligence.-...Etc. This comprehensive book brings together the brightest minds in academic, featuring a curated selection of papers and presentations from the esteemed conference. With a focus on the intersection of the conference themes, this book provides a unique platform for researchers, practitioners, and innovators to share their cutting-edge research, innovations, and solutions. Get ready to dive into the latest advancements in Artificial Intelligence and Internet of Things for Healthcare, Computer Vision, world of computer science, featuring advancements in machine learning, natural language processing, and more with the Proceedings of SMAI2024. This book presents a comprehensive and interdisciplinary examination of the applications, challenges, and implications of AI-IoT convergence in different contexts such Smart Healthcare/Smart Technologies/Smart Industry, computer vision, and NLP. Through a series of erudite chapters, esteemed experts in computer sciences, healthcare, physics, technology, and research domains provide authoritative insights into the transformative potential of this synergy. As editors, we are proud to present a curated collection of contributions that reflect the latest research findings, innovations, and best practices in IA technology. The editors’ objective is to provide a nuanced and authoritative exploration of the AI-IoT nexus, with the aim of inspiring further research, collaboration, and innovation in the pursuit of excellence in Artificial Intelligence. Computational intelligence. 64052 Artificial intelligence. 58441 Computational Intelligence. 64052 Artificial Intelligence. 58441 Serrhini, Mohammed. editor. edt http://id.loc.gov/vocabulary/relators/edt 83447 Ghoumid, Kamal. editor. edt http://id.loc.gov/vocabulary/relators/edt 83448 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031668494 Printed edition: 9783031668517 Printed edition: 9783031668524 Information Systems Engineering and Management, 3004-9598 ; 11 78463 https://doi.org/10.1007/978-3-031-66850-0 ZDB-2-INR ZDB-2-SXIT 62979 62979